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Results of the 2020 fastMRI Challenge for Machine Learning MR Image
  Reconstruction

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

9 December 2020
Matthew Muckley
Bruno Riemenschneider
A. Radmanesh
Sunwoo Kim
Geunu Jeong
Jingyu Ko
Yohan Jun
Hyungseob Shin
D. Hwang
Mahmoud Mostapha
S. Arberet
D. Nickel
Zaccharie Ramzi
P. Ciuciu
Jean-Luc Starck
Jonas Teuwen
D. Karkalousos
Chaoping Zhang
Anuroop Sriram
Zhengnan Huang
N. Yakubova
Yvonne W. Lui
Florian Knoll
    OOD
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Papers citing "Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction"

15 / 15 papers shown
Title
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive
  Cardiac Examination
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination
Oliver Jaubert
Javier Montalt-Tordera
Dan Knight
Simon Arridge
J. Steeden
V. Muthurangu
19
7
0
06 Feb 2023
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Martin Genzel
Ingo Gühring
Jan Macdonald
M. März
25
25
0
14 Jun 2022
Gradient-Based Learning of Discrete Structured Measurement Operators for
  Signal Recovery
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery
Jonathan Sauder
Martin Genzel
P. Jung
19
1
0
07 Feb 2022
Assessment of Data Consistency through Cascades of Independently
  Recurrent Inference Machines for fast and robust accelerated MRI
  reconstruction
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
D. Karkalousos
S. Noteboom
H. Hulst
F. Vos
M. Caan
OOD
AI4CE
17
10
0
30 Nov 2021
WARPd: A linearly convergent first-order method for inverse problems
  with approximate sharpness conditions
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions
Matthew J. Colbrook
26
2
0
24 Oct 2021
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with
  Semi-Supervised and Self-Supervised Learning
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning
Arjun D Desai
Batu Mehmet Ozturkler
Christopher M. Sandino
R. Boutin
M. Willis
S. Vasanawala
B. Hargreaves
Christopher Ré
John M. Pauly
Akshay S. Chaudhari
19
3
0
30 Sep 2021
Is good old GRAPPA dead?
Is good old GRAPPA dead?
Zaccharie Ramzi
A. Vignaud
Jean-Luc Starck
P. Ciuciu
26
1
0
01 Jun 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an
  Iterative Network for Fanbeam-CT with Unknown Geometry
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
Martin Genzel
Jan Macdonald
M. März
13
4
0
01 Jun 2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating
  Optimization
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Marius Arvinte
S. Vishwanath
Ahmed H. Tewfik
Jonathan I. Tamir
16
38
0
02 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
43
181
0
16 Feb 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Burhaneddin Yaman
S. A. Hosseini
Mehmet Akçakaya
21
67
0
15 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers
  of deep learning and Smale's 18th problem
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem
Matthew J. Colbrook
Vegard Antun
A. Hansen
70
129
0
20 Jan 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness
  Included?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
24
101
0
09 Nov 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Francesco Calivá
Kaiyang Cheng
Rutwik Shah
V. Pedoia
OOD
AAML
MedIm
22
10
0
30 Oct 2020
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI
  challenge
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge
Zaccharie Ramzi
P. Ciuciu
Jean-Luc Starck
14
23
0
15 Oct 2020
1